Triple
T9332741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Klem |
E224562
|
entity |
| Predicate | numberOfWorldSeriesUmpired |
P87562
|
FINISHED |
| Object | 18 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 18 | Statement: [Bill Klem, numberOfWorldSeriesUmpired, 18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfWorldSeriesUmpired Context triple: [Bill Klem, numberOfWorldSeriesUmpired, 18]
-
A.
numberOfMLBGamesUmpired
Indicates the total count of Major League Baseball games that a given umpire has officiated.
-
B.
numberOfOffFieldUmpires
Indicates the count of umpires assigned to officiate a game from positions off the field of play.
-
C.
numberOfWorldSeriesTitles
Indicates the count of World Series championship titles that an entity (typically a baseball team or player) has won.
-
D.
officiatedWorldSeries
Indicates that an entity (typically an umpire or official) served in an official capacity during a World Series event.
-
E.
isOnlyWorldSeriesWithoutChampionSince
Indicates that a particular World Series is uniquely the only one, since a specified time, in which no champion was declared.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca8427a0c08190b749831d5ea98f02 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd37afceb88190ad7ffbc7b47a1caa |
completed | April 1, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_69cc7a643924819097f01144734901cf |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc94b796788190816b71b1e9996288 |
completed | April 1, 2026, 3:44 a.m. |
Created at: March 30, 2026, 7:39 p.m.